ArcGIS Enterprise · Canada
Modernize ArcGIS Enterprise without treating production like a laboratory.
ArcGIS Enterprise upgrades and migrations affect more than software versions. SpatialX focuses on the services, identities, data sources, scripts, integrations, environments, and operating practices that have to keep working around the platform.
The challenge
The difficult part is rarely clicking “upgrade.”
Enterprise GIS environments carry years of accumulated services, Python runtimes, data connections, web applications, scheduled jobs, authentication patterns, extensions, publishing habits, and undocumented dependencies. A version change can expose all of them at once.
SpatialX treats ArcGIS Enterprise modernization as a controlled transition: inventory first, architecture second, migration sequencing third, then validation and operational handover.
Common situations
- ArcGIS Enterprise versions approaching end-of-support or blocking newer capability.
- Large service inventories with uncertain ownership and dependencies.
- Legacy geoprocessing code or Python environments.
- Federation, hosting, web adaptor, SSO, or certificate complexity.
- Different DEV/TEST/PROD states and inconsistent deployment practices.
- Uncertainty around downtime, rollback, data connections, or application compatibility.
What SpatialX helps with
- Current-state ArcGIS Enterprise inventory and dependency analysis.
- Target topology and environment design.
- Portal, Server, Data Store, federation, hosting, web adaptor, and SSO considerations.
- Service migration and rationalization strategy.
- Python/geoprocessing modernization and validation planning.
- Cutover, rollback, smoke testing, monitoring, and operational handover patterns.
Architecture-led delivery
What a focused engagement can produce.
Deliverables are scoped to the environment and decision at hand; the intent is to leave behind artifacts that remain useful after the engagement.
Platform and service inventory.
Upgrade/migration risk matrix.
Target ArcGIS Enterprise architecture.
Migration waves and validation plan.
Cutover and rollback runbook.
Post-migration monitoring and operational checklist.
Questions worth clarifying
Architecture starts by asking the right questions.
Which services are worth migrating as-is?
Which scripts or integrations need remediation before the platform changes?
What is the safest migration sequence?
How will success be measured after cutover?
A practical starting point
Need clarity before a larger modernization decision?
Start with a focused geospatial platform assessment: current state, material risks, target architecture direction, and a phased roadmap.
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